MetaData

Dataset statistics

Number of variables	32
Number of observations	226537
Missing cells	1096719
Missing cells (%)	15.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	24.9 MiB
Average record size in memory	115.4 B

Variable types

Numeric	8
DateTime	5
Categorical	19

Alerts

`ft_tu` has a high cardinality: 55 distinct values	High cardinality
`ft_vm` has a high cardinality: 18232 distinct values	High cardinality
`fg_startort` has a high cardinality: 12165 distinct values	High cardinality
`fg_zielort` has a high cardinality: 11995 distinct values	High cardinality
`ft_startort` has a high cardinality: 6252 distinct values	High cardinality
`ft_zielort` has a high cardinality: 5341 distinct values	High cardinality
`df_index` is highly correlated with `participant_id`	High correlation
`participant_id` is highly correlated with `df_index`	High correlation
`u_fahrausweis` is highly correlated with `S_AB3_HTA`	High correlation
`S_AB3_HTA` is highly correlated with `u_fahrausweis` and 1 other fields	High correlation
`u_ticket` is highly correlated with `u_ga`	High correlation
`u_ga` is highly correlated with `S_AB3_HTA` and 1 other fields	High correlation
`S_alter` has 5703 (2.5%) missing values	Missing
`S_sex` has 5406 (2.4%) missing values	Missing
`S_wohnsitz` has 5405 (2.4%) missing values	Missing
`u_klassencode` has 5936 (2.6%) missing values	Missing
`u_ga` has 144328 (63.7%) missing values	Missing
`S_AB3_HTA` has 12158 (5.4%) missing values	Missing
`R_anschluss` has 101897 (45.0%) missing values	Missing
`R_stoerung` has 47604 (21.0%) missing values	Missing
`device_type` has 82209 (36.3%) missing values	Missing
`dispcode` has 82209 (36.3%) missing values	Missing
`u_ticket` has 40027 (17.7%) missing values	Missing
`u_fahrausweis` has 110919 (49.0%) missing values	Missing
`u_preis` has 21482 (9.5%) missing values	Missing
`R_zweck` has 5355 (2.4%) missing values	Missing
`ft_abfahrt` has 38301 (16.9%) missing values	Missing
`ft_ankunft` has 38301 (16.9%) missing values	Missing
`ft_startort_uic` has 38301 (16.9%) missing values	Missing
`ft_tu` has 38301 (16.9%) missing values	Missing
`ft_vm` has 38301 (16.9%) missing values	Missing
`ft_vm_kurz` has 38301 (16.9%) missing values	Missing
`ft_zielort_uic` has 38301 (16.9%) missing values	Missing
`fg_abfahrt` has 27467 (12.1%) missing values	Missing
`fg_ankunft` has 27467 (12.1%) missing values	Missing
`fg_startort_uic` has 27467 (12.1%) missing values	Missing
`fg_zielort_uic` has 27467 (12.1%) missing values	Missing
`fg_startort` has 6590 (2.9%) missing values	Missing
`fg_zielort` has 6587 (2.9%) missing values	Missing
`ft_startort` has 17466 (7.7%) missing values	Missing
`ft_zielort` has 17463 (7.7%) missing values	Missing
`ft_startort_uic` is highly skewed (γ1 = -38.85345395)	Skewed
`fg_startort_uic` is highly skewed (γ1 = -54.12944026)	Skewed
`fg_zielort_uic` is highly skewed (γ1 = -47.23386188)	Skewed
`df_index` has unique values	Unique
`participant_id` has unique values	Unique

Reproduction

Analysis started	2022-11-18 15:24:33.063971
Analysis finished	2022-11-18 15:34:21.657542
Duration	9 minutes and 48.59 seconds
Software version	pandas-profiling v3.4.0
Download configuration	config.json

df_index
Real number (ℝ_≥0)

HIGH CORRELATION
UNIQUE

Distinct	226537
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	113441.2574

Minimum	0
Maximum	229488
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	1.7 MiB

Quantile statistics

Minimum	0
5-th percentile	11499.8
Q1	56807
median	113441
Q3	170075
95-th percentile	215382.2
Maximum	229488
Range	229488
Interquartile range (IQR)	113268

Descriptive statistics

Standard deviation	65397.92223
Coefficient of variation (CV)	0.576491514
Kurtosis	-1.199839849
Mean	113441.2574
Median Absolute Deviation (MAD)	56634
Skewness	2.43676751 × 10^-5
Sum	2.569864213 × 10¹⁰
Variance	4276888232
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
226335	1	< 0.1%
75813	1	< 0.1%
75844	1	< 0.1%
75846	1	< 0.1%
75827	1	< 0.1%
75826	1	< 0.1%
75825	1	< 0.1%
75824	1	< 0.1%
75808	1	< 0.1%
75809	1	< 0.1%
Other values (226527)	226527	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
229488	1	< 0.1%
229345	1	< 0.1%
229287	1	< 0.1%
228803	1	< 0.1%
228738	1	< 0.1%
228717	1	< 0.1%
228687	1	< 0.1%
228498	1	< 0.1%
228420	1	< 0.1%
228400	1	< 0.1%

participant_id
Real number (ℝ_≥0)

HIGH CORRELATION
UNIQUE

Distinct	226537
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	371630.3177

Minimum	642
Maximum	587992
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 MiB

Quantile statistics

Minimum	642
5-th percentile	66039.2
Q1	338200
median	425687
Q3	503943
95-th percentile	568290.2
Maximum	587992
Range	587350
Interquartile range (IQR)	165743

Descriptive statistics

Standard deviation	171154.2938
Coefficient of variation (CV)	0.4605498681
Kurtosis	-0.8145644217
Mean	371630.3177
Median Absolute Deviation (MAD)	82945
Skewness	-0.7893698922
Sum	8.418801728 × 10¹⁰
Variance	2.929379229 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
583619	1	< 0.1%
364462	1	< 0.1%
364508	1	< 0.1%
364512	1	< 0.1%
364483	1	< 0.1%
364482	1	< 0.1%
364481	1	< 0.1%
364480	1	< 0.1%
364455	1	< 0.1%
364456	1	< 0.1%
Other values (226527)	226527	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
642	1	< 0.1%
657	1	< 0.1%
24756	1	< 0.1%
25620	1	< 0.1%
41215	1	< 0.1%
41305	1	< 0.1%
41334	1	< 0.1%
41376	1	< 0.1%
41423	1	< 0.1%
41459	1	< 0.1%

Value	Count	Frequency (%)
587992	1	< 0.1%
587803	1	< 0.1%
587733	1	< 0.1%
587048	1	< 0.1%
586957	1	< 0.1%
586932	1	< 0.1%
586890	1	< 0.1%
586617	1	< 0.1%
586506	1	< 0.1%
586478	1	< 0.1%

u_date
Date

Distinct	1314
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	1.7 MiB

Minimum	2019-01-02 00:00:00
Maximum	2022-10-30 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

S_alter
Real number (ℝ_≥0)

MISSING

Distinct	89
Distinct (%)	< 0.1%
Missing	5703
Missing (%)	2.5%
Infinite	0
Infinite (%)	0.0%
Mean	51.57685411

Minimum	10
Maximum	98
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 MiB

Quantile statistics

Minimum	10
5-th percentile	23
Q1	40
median	53
Q3	64
95-th percentile	75
Maximum	98
Range	88
Interquartile range (IQR)	24

Descriptive statistics

Standard deviation	15.93574306
Coefficient of variation (CV)	0.308970823
Kurtosis	-0.6226844772
Mean	51.57685411
Median Absolute Deviation (MAD)	12
Skewness	-0.3044130342
Sum	11389923
Variance	253.9479069
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
55	6238	2.8%
60	6051	2.7%
50	5874	2.6%
56	5434	2.4%
58	5431	2.4%
57	5413	2.4%
52	5364	2.4%
65	5293	2.3%
54	5167	2.3%
53	5129	2.3%
Other values (79)	165440	73.0%
(Missing)	5703	2.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
10	74	< 0.1%
11	41	< 0.1%
12	48	< 0.1%
13	68	< 0.1%
14	226	0.1%
15	558	0.2%
16	1184	0.5%
17	1484	0.7%
18	1620	0.7%
19	1408	0.6%

Value	Count	Frequency (%)
98	5	< 0.1%
97	2	< 0.1%
96	2	< 0.1%
95	8	< 0.1%
94	10	< 0.1%
93	7	< 0.1%
92	8	< 0.1%
91	26	< 0.1%
90	63	< 0.1%
89	54	< 0.1%

S_sex
Categorical

MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	5406
Missing (%)	2.4%
Memory size	221.5 KiB

weiblich	121924
männlich	98553
divers	654

Length

Max length	8
Median length	8
Mean length	7.994084954
Min length	6

Characters and Unicode

Total characters	1767740
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	weiblich
2nd row	männlich
3rd row	weiblich
4th row	weiblich
5th row	weiblich

Common Values

Value	Count	Frequency (%)
weiblich	121924	53.8%
männlich	98553	43.5%
divers	654	0.3%
(Missing)	5406	2.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
weiblich	121924	55.1%
männlich	98553	44.6%
divers	654	0.3%

Most occurring characters

Value	Count	Frequency (%)
i	343055	19.4%
l	220477	12.5%
c	220477	12.5%
h	220477	12.5%
n	197106	11.2%
e	122578	6.9%
w	121924	6.9%
b	121924	6.9%
m	98553	5.6%
ä	98553	5.6%
Other values (4)	2616	0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1767740	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	343055	19.4%
l	220477	12.5%
c	220477	12.5%
h	220477	12.5%
n	197106	11.2%
e	122578	6.9%
w	121924	6.9%
b	121924	6.9%
m	98553	5.6%
ä	98553	5.6%
Other values (4)	2616	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1767740	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	343055	19.4%
l	220477	12.5%
c	220477	12.5%
h	220477	12.5%
n	197106	11.2%
e	122578	6.9%
w	121924	6.9%
b	121924	6.9%
m	98553	5.6%
ä	98553	5.6%
Other values (4)	2616	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1669187	94.4%
None	98553	5.6%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	343055	20.6%
l	220477	13.2%
c	220477	13.2%
h	220477	13.2%
n	197106	11.8%
e	122578	7.3%
w	121924	7.3%
b	121924	7.3%
m	98553	5.9%
d	654	< 0.1%
Other values (3)	1962	0.1%

None

Value	Count	Frequency (%)
ä	98553	100.0%

S_wohnsitz
Categorical

MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	5405
Missing (%)	2.4%
Memory size	221.5 KiB

In der Schweiz / Liechtenstein	215855
In einem anderen Land	5277

Length

Max length	30
Median length	30
Mean length	29.78522783
Min length	21

Characters and Unicode

Total characters	6586467
Distinct characters	18
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	In der Schweiz / Liechtenstein
2nd row	In der Schweiz / Liechtenstein
3rd row	In der Schweiz / Liechtenstein
4th row	In der Schweiz / Liechtenstein
5th row	In der Schweiz / Liechtenstein

Common Values

Value	Count	Frequency (%)
In der Schweiz / Liechtenstein	215855	95.3%
In einem anderen Land	5277	2.3%
(Missing)	5405	2.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
in	221132	20.1%
der	215855	19.6%
schweiz	215855	19.6%
	215855	19.6%
liechtenstein	215855	19.6%
einem	5277	0.5%
anderen	5277	0.5%
land	5277	0.5%

Most occurring characters

Value	Count	Frequency (%)
e	1100383	16.7%
	879251	13.3%
n	673950	10.2%
i	652842	9.9%
c	431710	6.6%
h	431710	6.6%
t	431710	6.6%
d	226409	3.4%
I	221132	3.4%
L	221132	3.4%
Other values (8)	1316238	20.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4833242	73.4%
Space Separator	879251	13.3%
Uppercase Letter	658119	10.0%
Other Punctuation	215855	3.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	1100383	22.8%
n	673950	13.9%
i	652842	13.5%
c	431710	8.9%
h	431710	8.9%
t	431710	8.9%
d	226409	4.7%
r	221132	4.6%
s	215855	4.5%
w	215855	4.5%
Other values (3)	231686	4.8%

Uppercase Letter

Value	Count	Frequency (%)
I	221132	33.6%
L	221132	33.6%
S	215855	32.8%

Space Separator

Value	Count	Frequency (%)
	879251	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	215855	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5491361	83.4%
Common	1095106	16.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	1100383	20.0%
n	673950	12.3%
i	652842	11.9%
c	431710	7.9%
h	431710	7.9%
t	431710	7.9%
d	226409	4.1%
I	221132	4.0%
L	221132	4.0%
r	221132	4.0%
Other values (6)	879251	16.0%

Common

Value	Count	Frequency (%)
	879251	80.3%
/	215855	19.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6586467	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	1100383	16.7%
	879251	13.3%
n	673950	10.2%
i	652842	9.9%
c	431710	6.6%
h	431710	6.6%
t	431710	6.6%
d	226409	3.4%
I	221132	3.4%
L	221132	3.4%
Other values (8)	1316238	20.0%

u_klassencode
Categorical

MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	5936
Missing (%)	2.6%
Memory size	221.5 KiB

2. Klasse	192601
1. Klasse	28000

Length

Max length	9
Median length	9
Mean length	9
Min length	9

Characters and Unicode

Total characters	1985409
Distinct characters	9
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2. Klasse
2nd row	2. Klasse
3rd row	2. Klasse
4th row	2. Klasse
5th row	2. Klasse

Common Values

Value	Count	Frequency (%)
2. Klasse	192601	85.0%
1. Klasse	28000	12.4%
(Missing)	5936	2.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
klasse	220601	50.0%
2	192601	43.7%
1	28000	6.3%

Most occurring characters

Value	Count	Frequency (%)
s	441202	22.2%
.	220601	11.1%
	220601	11.1%
K	220601	11.1%
l	220601	11.1%
a	220601	11.1%
e	220601	11.1%
2	192601	9.7%
1	28000	1.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1103005	55.6%
Other Punctuation	220601	11.1%
Space Separator	220601	11.1%
Uppercase Letter	220601	11.1%
Decimal Number	220601	11.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	441202	40.0%
l	220601	20.0%
a	220601	20.0%
e	220601	20.0%

Decimal Number

Value	Count	Frequency (%)
2	192601	87.3%
1	28000	12.7%

Other Punctuation

Value	Count	Frequency (%)
.	220601	100.0%

Space Separator

Value	Count	Frequency (%)
	220601	100.0%

Uppercase Letter

Value	Count	Frequency (%)
K	220601	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1323606	66.7%
Common	661803	33.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
s	441202	33.3%
K	220601	16.7%
l	220601	16.7%
a	220601	16.7%
e	220601	16.7%

Common

Value	Count	Frequency (%)
.	220601	33.3%
	220601	33.3%
2	192601	29.1%
1	28000	4.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1985409	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
s	441202	22.2%
.	220601	11.1%
	220601	11.1%
K	220601	11.1%
l	220601	11.1%
a	220601	11.1%
e	220601	11.1%
2	192601	9.7%
1	28000	1.4%

u_ga
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	144328
Missing (%)	63.7%
Memory size	221.5 KiB

kein GA	75456
besitzt GA	6753

Length

Max length	10
Median length	7
Mean length	7.246432872
Min length	7

Characters and Unicode

Total characters	595722
Distinct characters	11
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	kein GA
2nd row	kein GA
3rd row	kein GA
4th row	kein GA
5th row	kein GA

Common Values

Value	Count	Frequency (%)
kein GA	75456	33.3%
besitzt GA	6753	3.0%
(Missing)	144328	63.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
ga	82209	50.0%
kein	75456	45.9%
besitzt	6753	4.1%

Most occurring characters

Value	Count	Frequency (%)
e	82209	13.8%
i	82209	13.8%
	82209	13.8%
G	82209	13.8%
A	82209	13.8%
k	75456	12.7%
n	75456	12.7%
t	13506	2.3%
b	6753	1.1%
s	6753	1.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	349095	58.6%
Uppercase Letter	164418	27.6%
Space Separator	82209	13.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	82209	23.5%
i	82209	23.5%
k	75456	21.6%
n	75456	21.6%
t	13506	3.9%
b	6753	1.9%
s	6753	1.9%
z	6753	1.9%

Uppercase Letter

Value	Count	Frequency (%)
G	82209	50.0%
A	82209	50.0%

Space Separator

Value	Count	Frequency (%)
	82209	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	513513	86.2%
Common	82209	13.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	82209	16.0%
i	82209	16.0%
G	82209	16.0%
A	82209	16.0%
k	75456	14.7%
n	75456	14.7%
t	13506	2.6%
b	6753	1.3%
s	6753	1.3%
z	6753	1.3%

Common

Value	Count	Frequency (%)
	82209	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	595722	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	82209	13.8%
i	82209	13.8%
	82209	13.8%
G	82209	13.8%
A	82209	13.8%
k	75456	12.7%
n	75456	12.7%
t	13506	2.3%
b	6753	1.1%
s	6753	1.1%

S_AB3_HTA
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	12158
Missing (%)	5.4%
Memory size	221.5 KiB

ja	177292
nein	37087

Length

Max length	4
Median length	2
Mean length	2.34599471
Min length	2

Characters and Unicode

Total characters	502932
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	ja
2nd row	ja
3rd row	nein
4th row	nein
5th row	ja

Common Values

Value	Count	Frequency (%)
ja	177292	78.3%
nein	37087	16.4%
(Missing)	12158	5.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
ja	177292	82.7%
nein	37087	17.3%

Most occurring characters

Value	Count	Frequency (%)
j	177292	35.3%
a	177292	35.3%
n	74174	14.7%
e	37087	7.4%
i	37087	7.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	502932	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
j	177292	35.3%
a	177292	35.3%
n	74174	14.7%
e	37087	7.4%
i	37087	7.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	502932	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
j	177292	35.3%
a	177292	35.3%
n	74174	14.7%
e	37087	7.4%
i	37087	7.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	502932	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
j	177292	35.3%
a	177292	35.3%
n	74174	14.7%
e	37087	7.4%
i	37087	7.4%

R_anschluss
Categorical

MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	101897
Missing (%)	45.0%
Memory size	221.5 KiB

Ja	118789
Nein	5851

Length

Max length	4
Median length	2
Mean length	2.093886393
Min length	2

Characters and Unicode

Total characters	260982
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Ja
2nd row	Ja
3rd row	Ja
4th row	Ja
5th row	Ja

Common Values

Value	Count	Frequency (%)
Ja	118789	52.4%
Nein	5851	2.6%
(Missing)	101897	45.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
ja	118789	95.3%
nein	5851	4.7%

Most occurring characters

Value	Count	Frequency (%)
J	118789	45.5%
a	118789	45.5%
N	5851	2.2%
e	5851	2.2%
i	5851	2.2%
n	5851	2.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	136342	52.2%
Uppercase Letter	124640	47.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	118789	87.1%
e	5851	4.3%
i	5851	4.3%
n	5851	4.3%

Uppercase Letter

Value	Count	Frequency (%)
J	118789	95.3%
N	5851	4.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	260982	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
J	118789	45.5%
a	118789	45.5%
N	5851	2.2%
e	5851	2.2%
i	5851	2.2%
n	5851	2.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	260982	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
J	118789	45.5%
a	118789	45.5%
N	5851	2.2%
e	5851	2.2%
i	5851	2.2%
n	5851	2.2%

R_stoerung
Categorical

MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	47604
Missing (%)	21.0%
Memory size	221.5 KiB

Nein	165161
Ja	13772

Length

Max length	4
Median length	4
Mean length	3.846065287
Min length	2

Characters and Unicode

Total characters	688188
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Nein
2nd row	Nein
3rd row	Nein
4th row	Nein
5th row	Nein

Common Values

Value	Count	Frequency (%)
Nein	165161	72.9%
Ja	13772	6.1%
(Missing)	47604	21.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
nein	165161	92.3%
ja	13772	7.7%

Most occurring characters

Value	Count	Frequency (%)
N	165161	24.0%
e	165161	24.0%
i	165161	24.0%
n	165161	24.0%
J	13772	2.0%
a	13772	2.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	509255	74.0%
Uppercase Letter	178933	26.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	165161	32.4%
i	165161	32.4%
n	165161	32.4%
a	13772	2.7%

Uppercase Letter

Value	Count	Frequency (%)
N	165161	92.3%
J	13772	7.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	688188	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	165161	24.0%
e	165161	24.0%
i	165161	24.0%
n	165161	24.0%
J	13772	2.0%
a	13772	2.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	688188	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	165161	24.0%
e	165161	24.0%
i	165161	24.0%
n	165161	24.0%
J	13772	2.0%
a	13772	2.0%

device_type
Categorical

MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	82209
Missing (%)	36.3%
Memory size	221.5 KiB

Desktop	96067
Smartphone	48261

Length

Max length	10
Median length	7
Mean length	8.003152541
Min length	7

Characters and Unicode

Total characters	1155079
Distinct characters	13
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Desktop
2nd row	Desktop
3rd row	Desktop
4th row	Desktop
5th row	Desktop

Common Values

Value	Count	Frequency (%)
Desktop	96067	42.4%
Smartphone	48261	21.3%
(Missing)	82209	36.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
desktop	96067	66.6%
smartphone	48261	33.4%

Most occurring characters

Value	Count	Frequency (%)
e	144328	12.5%
t	144328	12.5%
o	144328	12.5%
p	144328	12.5%
D	96067	8.3%
s	96067	8.3%
k	96067	8.3%
S	48261	4.2%
m	48261	4.2%
a	48261	4.2%
Other values (3)	144783	12.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1010751	87.5%
Uppercase Letter	144328	12.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	144328	14.3%
t	144328	14.3%
o	144328	14.3%
p	144328	14.3%
s	96067	9.5%
k	96067	9.5%
m	48261	4.8%
a	48261	4.8%
r	48261	4.8%
h	48261	4.8%

Uppercase Letter

Value	Count	Frequency (%)
D	96067	66.6%
S	48261	33.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1155079	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	144328	12.5%
t	144328	12.5%
o	144328	12.5%
p	144328	12.5%
D	96067	8.3%
s	96067	8.3%
k	96067	8.3%
S	48261	4.2%
m	48261	4.2%
a	48261	4.2%
Other values (3)	144783	12.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1155079	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	144328	12.5%
t	144328	12.5%
o	144328	12.5%
p	144328	12.5%
D	96067	8.3%
s	96067	8.3%
k	96067	8.3%
S	48261	4.2%
m	48261	4.2%
a	48261	4.2%
Other values (3)	144783	12.5%

dispcode
Categorical

MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	82209
Missing (%)	36.3%
Memory size	221.5 KiB

Beendet	110786
Ausgescreent	30645
Beendet nach Unterbrechung	2897

Length

Max length	26
Median length	7
Mean length	8.44301868
Min length	7

Characters and Unicode

Total characters	1218564
Distinct characters	16
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Beendet
2nd row	Beendet
3rd row	Ausgescreent
4th row	Beendet
5th row	Beendet nach Unterbrechung

Common Values

Value	Count	Frequency (%)
Beendet	110786	48.9%
Ausgescreent	30645	13.5%
Beendet nach Unterbrechung	2897	1.3%
(Missing)	82209	36.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
beendet	113683	75.7%
ausgescreent	30645	20.4%
nach	2897	1.9%
unterbrechung	2897	1.9%

Most occurring characters

Value	Count	Frequency (%)
e	438778	36.0%
n	153019	12.6%
t	147225	12.1%
B	113683	9.3%
d	113683	9.3%
s	61290	5.0%
c	36439	3.0%
r	36439	3.0%
u	33542	2.8%
g	33542	2.8%
Other values (6)	50924	4.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1065545	87.4%
Uppercase Letter	147225	12.1%
Space Separator	5794	0.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	438778	41.2%
n	153019	14.4%
t	147225	13.8%
d	113683	10.7%
s	61290	5.8%
c	36439	3.4%
r	36439	3.4%
u	33542	3.1%
g	33542	3.1%
h	5794	0.5%
Other values (2)	5794	0.5%

Uppercase Letter

Value	Count	Frequency (%)
B	113683	77.2%
A	30645	20.8%
U	2897	2.0%

Space Separator

Value	Count	Frequency (%)
	5794	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1212770	99.5%
Common	5794	0.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	438778	36.2%
n	153019	12.6%
t	147225	12.1%
B	113683	9.4%
d	113683	9.4%
s	61290	5.1%
c	36439	3.0%
r	36439	3.0%
u	33542	2.8%
g	33542	2.8%
Other values (5)	45130	3.7%

Common

Value	Count	Frequency (%)
	5794	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1218564	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	438778	36.0%
n	153019	12.6%
t	147225	12.1%
B	113683	9.3%
d	113683	9.3%
s	61290	5.0%
c	36439	3.0%
r	36439	3.0%
u	33542	2.8%
g	33542	2.8%
Other values (6)	50924	4.2%

u_ticket
Categorical

HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	40027
Missing (%)	17.7%
Memory size	221.6 KiB

Mobile-Ticket	155385
Online-Ticket	24915
Easy Ride	5904
bedienter Vertrieb	306

Length

Max length	18
Median length	13
Mean length	12.88158276
Min length	9

Characters and Unicode

Total characters	2402544
Distinct characters	22
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Mobile-Ticket
2nd row	Mobile-Ticket
3rd row	Mobile-Ticket
4th row	Mobile-Ticket
5th row	Mobile-Ticket

Common Values

Value	Count	Frequency (%)
Mobile-Ticket	155385	68.6%
Online-Ticket	24915	11.0%
Easy Ride	5904	2.6%
bedienter Vertrieb	306	0.1%
(Missing)	40027	17.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
mobile-ticket	155385	80.6%
online-ticket	24915	12.9%
easy	5904	3.1%
ride	5904	3.1%
bedienter	306	0.2%
vertrieb	306	0.2%

Most occurring characters

Value	Count	Frequency (%)
e	368034	15.3%
i	367116	15.3%
t	180912	7.5%
l	180300	7.5%
-	180300	7.5%
T	180300	7.5%
c	180300	7.5%
k	180300	7.5%
b	155997	6.5%
M	155385	6.5%
Other values (12)	273600	11.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1843320	76.7%
Uppercase Letter	372714	15.5%
Dash Punctuation	180300	7.5%
Space Separator	6210	0.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	368034	20.0%
i	367116	19.9%
t	180912	9.8%
l	180300	9.8%
c	180300	9.8%
k	180300	9.8%
b	155997	8.5%
o	155385	8.4%
n	50136	2.7%
d	6210	0.3%
Other values (4)	18630	1.0%

Uppercase Letter

Value	Count	Frequency (%)
T	180300	48.4%
M	155385	41.7%
O	24915	6.7%
E	5904	1.6%
R	5904	1.6%
V	306	0.1%

Dash Punctuation

Value	Count	Frequency (%)
-	180300	100.0%

Space Separator

Value	Count	Frequency (%)
	6210	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2216034	92.2%
Common	186510	7.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	368034	16.6%
i	367116	16.6%
t	180912	8.2%
l	180300	8.1%
T	180300	8.1%
c	180300	8.1%
k	180300	8.1%
b	155997	7.0%
M	155385	7.0%
o	155385	7.0%
Other values (10)	112005	5.1%

Common

Value	Count	Frequency (%)
-	180300	96.7%
	6210	3.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2402544	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	368034	15.3%
i	367116	15.3%
t	180912	7.5%
l	180300	7.5%
-	180300	7.5%
T	180300	7.5%
c	180300	7.5%
k	180300	7.5%
b	155997	6.5%
M	155385	6.5%
Other values (12)	273600	11.4%

u_fahrausweis
Categorical

HIGH CORRELATION
MISSING

Distinct	7
Distinct (%)	< 0.1%
Missing	110919
Missing (%)	49.0%
Memory size	221.7 KiB

Normales Billett	88564
GA	15147
Sparbillett	7995
Spartageskarte	3205
Tageskarte	424
Other values (2)	283

Length

Max length	18
Median length	16
Mean length	13.7403432
Min length	2

Characters and Unicode

Total characters	1588631
Distinct characters	30
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Normales Billett
2nd row	Normales Billett
3rd row	GA
4th row	Normales Billett
5th row	Normales Billett

Common Values

Value	Count	Frequency (%)
Normales Billett	88564	39.1%
GA	15147	6.7%
Sparbillett	7995	3.5%
Spartageskarte	3205	1.4%
Tageskarte	424	0.2%
Strecken-/Modulabo	207	0.1%
seven25	76	< 0.1%
(Missing)	110919	49.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
normales	88564	43.4%
billett	88564	43.4%
ga	15147	7.4%
sparbillett	7995	3.9%
spartageskarte	3205	1.6%
tageskarte	424	0.2%
strecken-/modulabo	207	0.1%
seven25	76	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
l	281889	17.7%
t	200159	12.6%
e	192947	12.1%
a	107229	6.7%
r	103600	6.5%
i	96559	6.1%
s	92269	5.8%
o	88978	5.6%
N	88564	5.6%
m	88564	5.6%
Other values (20)	247873	15.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1280041	80.6%
Uppercase Letter	219460	13.8%
Space Separator	88564	5.6%
Dash Punctuation	207	< 0.1%
Other Punctuation	207	< 0.1%
Decimal Number	152	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
l	281889	22.0%
t	200159	15.6%
e	192947	15.1%
a	107229	8.4%
r	103600	8.1%
i	96559	7.5%
s	92269	7.2%
o	88978	7.0%
m	88564	6.9%
p	11200	0.9%
Other values (8)	16647	1.3%

Uppercase Letter

Value	Count	Frequency (%)
N	88564	40.4%
B	88564	40.4%
G	15147	6.9%
A	15147	6.9%
S	11407	5.2%
T	424	0.2%
M	207	0.1%

Decimal Number

Value	Count	Frequency (%)
2	76	50.0%
5	76	50.0%

Space Separator

Value	Count	Frequency (%)
	88564	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	207	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	207	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1499501	94.4%
Common	89130	5.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
l	281889	18.8%
t	200159	13.3%
e	192947	12.9%
a	107229	7.2%
r	103600	6.9%
i	96559	6.4%
s	92269	6.2%
o	88978	5.9%
N	88564	5.9%
m	88564	5.9%
Other values (15)	158743	10.6%

Common

Value	Count	Frequency (%)
	88564	99.4%
-	207	0.2%
/	207	0.2%
2	76	0.1%
5	76	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1588631	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
l	281889	17.7%
t	200159	12.6%
e	192947	12.1%
a	107229	6.7%
r	103600	6.5%
i	96559	6.1%
s	92269	5.8%
o	88978	5.6%
N	88564	5.6%
m	88564	5.6%
Other values (20)	247873	15.6%

u_preis
Real number (ℝ_≥0)

MISSING

Distinct	1447
Distinct (%)	0.7%
Missing	21482
Missing (%)	9.5%
Infinite	0
Infinite (%)	0.0%
Mean	33.52140499

Minimum	0
Maximum	6300
Zeros	40
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	1.7 MiB

Quantile statistics

Minimum	0
5-th percentile	3.8
Q1	8.1
median	15.6
Q3	28.9
95-th percentile	60.6
Maximum	6300
Range	6300
Interquartile range (IQR)	20.8

Descriptive statistics

Standard deviation	205.6276614
Coefficient of variation (CV)	6.134219656
Kurtosis	442.8823229
Mean	33.52140499
Median Absolute Deviation (MAD)	8.9
Skewness	19.86197468
Sum	6873731.7
Variance	42282.73512
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
13	4852	2.1%
6.8	4778	2.1%
3.4	3963	1.7%
8.8	3027	1.3%
6.2	2830	1.2%
5.8	2425	1.1%
28	2393	1.1%
3.7	2357	1.0%
14	2340	1.0%
10.8	2337	1.0%
Other values (1437)	173753	76.7%
(Missing)	21482	9.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	40	< 0.1%
0.5	2	< 0.1%
1.3	2	< 0.1%
1.4	10	< 0.1%
1.5	7	< 0.1%
1.7	2	< 0.1%
2	303	0.1%
2.1	4	< 0.1%
2.2	384	0.2%
2.3	4	< 0.1%

Value	Count	Frequency (%)
6300	55	< 0.1%
4840	22	< 0.1%
4520	1	< 0.1%
4340	11	< 0.1%
4050	4	< 0.1%
3860	200	0.1%
3520	1	< 0.1%
2880	130	0.1%
2700	75	< 0.1%
2650	110	< 0.1%

R_zweck
Categorical

MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	5355
Missing (%)	2.4%
Memory size	221.5 KiB

Freizeit und Unterhaltung	147614
Arbeit und Lernen	58804
Sonstige	14764

Length

Max length	25
Median length	25
Mean length	21.73834218
Min length	8

Characters and Unicode

Total characters	4808130
Distinct characters	21
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Freizeit und Unterhaltung
2nd row	Freizeit und Unterhaltung
3rd row	Freizeit und Unterhaltung
4th row	Freizeit und Unterhaltung
5th row	Freizeit und Unterhaltung

Common Values

Value	Count	Frequency (%)
Freizeit und Unterhaltung	147614	65.2%
Arbeit und Lernen	58804	26.0%
Sonstige	14764	6.5%
(Missing)	5355	2.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
und	206418	32.6%
freizeit	147614	23.3%
unterhaltung	147614	23.3%
arbeit	58804	9.3%
lernen	58804	9.3%
sonstige	14764	2.3%

Most occurring characters

Value	Count	Frequency (%)
e	634018	13.2%
n	634018	13.2%
t	516410	10.7%
	412836	8.6%
r	412836	8.6%
i	368796	7.7%
u	354032	7.4%
d	206418	4.3%
g	162378	3.4%
F	147614	3.1%
Other values (11)	958774	19.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3967694	82.5%
Uppercase Letter	427600	8.9%
Space Separator	412836	8.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	634018	16.0%
n	634018	16.0%
t	516410	13.0%
r	412836	10.4%
i	368796	9.3%
u	354032	8.9%
d	206418	5.2%
g	162378	4.1%
a	147614	3.7%
l	147614	3.7%
Other values (5)	383560	9.7%

Uppercase Letter

Value	Count	Frequency (%)
F	147614	34.5%
U	147614	34.5%
A	58804	13.8%
L	58804	13.8%
S	14764	3.5%

Space Separator

Value	Count	Frequency (%)
	412836	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4395294	91.4%
Common	412836	8.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	634018	14.4%
n	634018	14.4%
t	516410	11.7%
r	412836	9.4%
i	368796	8.4%
u	354032	8.1%
d	206418	4.7%
g	162378	3.7%
F	147614	3.4%
a	147614	3.4%
Other values (10)	811160	18.5%

Common

Value	Count	Frequency (%)
	412836	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4808130	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	634018	13.2%
n	634018	13.2%
t	516410	10.7%
	412836	8.6%
r	412836	8.6%
i	368796	7.7%
u	354032	7.4%
d	206418	4.3%
g	162378	3.4%
F	147614	3.1%
Other values (11)	958774	19.9%

ft_abfahrt
Date

MISSING

Distinct	1316
Distinct (%)	0.7%
Missing	38301
Missing (%)	16.9%
Memory size	1.7 MiB

Minimum	2022-11-18 00:00:00
Maximum	2022-11-18 23:59:00

Histogram

Histogram with fixed size bins (bins=50)

ft_ankunft
Date

MISSING

Distinct	1326
Distinct (%)	0.7%
Missing	38301
Missing (%)	16.9%
Memory size	1.7 MiB

Minimum	2022-11-18 00:00:00
Maximum	2022-11-18 23:59:00

Histogram

Histogram with fixed size bins (bins=50)

ft_startort_uic
Real number (ℝ_≥0)

MISSING
SKEWED

Distinct	2363
Distinct (%)	1.3%
Missing	38301
Missing (%)	16.9%
Infinite	0
Infinite (%)	0.0%
Mean	8508862.205

Minimum	1101961
Maximum	8891702
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 MiB

Quantile statistics

Minimum	1101961
5-th percentile	8500023
Q1	8503000
median	8504300
Q3	8507000
95-th percentile	8576333
Maximum	8891702
Range	7789741
Interquartile range (IQR)	4000

Descriptive statistics

Standard deviation	51945.08393
Coefficient of variation (CV)	0.006104821382
Kurtosis	4650.318474
Mean	8508862.205
Median Absolute Deviation (MAD)	2150
Skewness	-38.85345395
Sum	1.601674186 × 10¹²
Variance	2698291745
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8503000	20030	8.8%
8507000	11187	4.9%
8500010	7302	3.2%
8505000	6770	3.0%
8503016	5553	2.5%
8500218	5215	2.3%
8506000	4188	1.8%
8506302	3042	1.3%
8509000	2394	1.1%
8502113	2352	1.0%
Other values (2353)	120203	53.1%
(Missing)	38301	16.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1101961	2	< 0.1%
5103865	1	< 0.1%
5510017	2	< 0.1%
8001071	18	< 0.1%
8001093	1	< 0.1%
8002084	1	< 0.1%
8002140	1	< 0.1%
8002181	3	< 0.1%
8002253	3	< 0.1%
8002301	2	< 0.1%

Value	Count	Frequency (%)
8891702	1	< 0.1%
8812005	1	< 0.1%
8775100	1	< 0.1%
8774687	1	< 0.1%
8774549	3	< 0.1%
8771513	1	< 0.1%
8771304	4	< 0.1%
8718206	4	< 0.1%
8596004	10	< 0.1%
8595931	1	< 0.1%

ft_tu
Categorical

HIGH CARDINALITY
MISSING

Distinct	55
Distinct (%)	< 0.1%
Missing	38301
Missing (%)	16.9%
Memory size	223.8 KiB

SBB	146760
BLS	10454
SOB	7407
THU	6928
RhB	4434
Other values (50)	12253

Length

Max length	3
Median length	3
Mean length	2.972789477
Min length	1

Characters and Unicode

Total characters	559586
Distinct characters	31
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	< 0.1%

Sample

1st row	SBB
2nd row	SBB
3rd row	SBB
4th row	SBB
5th row	SBB

Common Values

Value	Count	Frequency (%)
SBB	146760	64.8%
BLS	10454	4.6%
SOB	7407	3.3%
THU	6928	3.1%
RhB	4434	2.0%
ZB	3404	1.5%
MGB	1712	0.8%
AVA	1121	0.5%
RBS	1022	0.5%
AB-	985	0.4%
Other values (45)	4009	1.8%
(Missing)	38301	16.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
sbb	146760	78.0%
bls	10454	5.6%
sob	7407	3.9%
thu	6928	3.7%
rhb	4434	2.4%
zb	3406	1.8%
mgb	1712	0.9%
ava	1121	0.6%
rbs	1022	0.5%
ab	985	0.5%
Other values (43)	4007	2.1%

Most occurring characters

Value	Count	Frequency (%)
B	324882	58.1%
S	166601	29.8%
L	10580	1.9%
O	7936	1.4%
U	7504	1.3%
T	7392	1.3%
H	6928	1.2%
R	6200	1.1%
h	4434	0.8%
A	4343	0.8%
Other values (21)	12786	2.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	554041	99.0%
Lowercase Letter	4551	0.8%
Dash Punctuation	987	0.2%
Connector Punctuation	7	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
B	324882	58.6%
S	166601	30.1%
L	10580	1.9%
O	7936	1.4%
U	7504	1.4%
T	7392	1.3%
H	6928	1.3%
R	6200	1.1%
A	4343	0.8%
Z	3982	0.7%
Other values (15)	7693	1.4%

Lowercase Letter

Value	Count	Frequency (%)
h	4434	97.4%
e	65	1.4%
r	42	0.9%
t	10	0.2%

Dash Punctuation

Value	Count	Frequency (%)
-	987	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	7	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	558592	99.8%
Common	994	0.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
B	324882	58.2%
S	166601	29.8%
L	10580	1.9%
O	7936	1.4%
U	7504	1.3%
T	7392	1.3%
H	6928	1.2%
R	6200	1.1%
h	4434	0.8%
A	4343	0.8%
Other values (19)	11792	2.1%

Common

Value	Count	Frequency (%)
-	987	99.3%
_	7	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	559536	> 99.9%
None	50	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
B	324882	58.1%
S	166601	29.8%
L	10580	1.9%
O	7936	1.4%
U	7504	1.3%
T	7392	1.3%
H	6928	1.2%
R	6200	1.1%
h	4434	0.8%
A	4343	0.8%
Other values (19)	12736	2.3%

None

Value	Count	Frequency (%)
Ö	49	98.0%
Ü	1	2.0%

ft_vm
Categorical

HIGH CARDINALITY
MISSING

Distinct	18232
Distinct (%)	9.7%
Missing	38301
Missing (%)	16.9%
Memory size	1.1 MiB

IC 5	578
IC 8	462
IC 8 808	437
IC 1	416
IC 8 825	405
Other values (18227)	185938

Length

Max length	14
Median length	13
Mean length	8.92787777
Min length	3

Characters and Unicode

Total characters	1680548
Distinct characters	23
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6262 ?
Unique (%)	3.3%

Sample

1st row	IC-51-1629
2nd row	IC-1-722
3rd row	IC-6-1076
4th row	IC-3-580
5th row	RE--4818

Common Values

Value	Count	Frequency (%)
IC 5	578	0.3%
IC 8	462	0.2%
IC 8 808	437	0.2%
IC 1	416	0.2%
IC 8 825	405	0.2%
IC 8 827	403	0.2%
IC 8 829	379	0.2%
IC 8 826	362	0.2%
IC 8 810	358	0.2%
IC 8 806	339	0.1%
Other values (18222)	184097	81.3%
(Missing)	38301	16.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
s	53411	11.1%
ic	43969	9.1%
ir	40123	8.3%
5	13767	2.9%
8	12735	2.6%
1	11067	2.3%
3	10270	2.1%
re	8794	1.8%
75	6602	1.4%
r	5513	1.1%
Other values (14443)	274528	57.1%

Most occurring characters

Value	Count	Frequency (%)
	309520	18.4%
1	196200	11.7%
2	150803	9.0%
I	109810	6.5%
5	108139	6.4%
3	101937	6.1%
6	91891	5.5%
8	87046	5.2%
7	83765	5.0%
R	67627	4.0%
Other values (13)	373810	22.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	994217	59.2%
Uppercase Letter	316905	18.9%
Space Separator	309520	18.4%
Dash Punctuation	59906	3.6%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
I	109810	34.7%
R	67627	21.3%
C	64039	20.2%
S	56077	17.7%
E	17690	5.6%
G	511	0.2%
T	500	0.2%
V	500	0.2%
N	116	< 0.1%
L	33	< 0.1%

Decimal Number

Value	Count	Frequency (%)
1	196200	19.7%
2	150803	15.2%
5	108139	10.9%
3	101937	10.3%
6	91891	9.2%
8	87046	8.8%
7	83765	8.4%
4	63272	6.4%
0	56052	5.6%
9	55112	5.5%

Space Separator

Value	Count	Frequency (%)
	309520	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	59906	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1363643	81.1%
Latin	316905	18.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
	309520	22.7%
1	196200	14.4%
2	150803	11.1%
5	108139	7.9%
3	101937	7.5%
6	91891	6.7%
8	87046	6.4%
7	83765	6.1%
4	63272	4.6%
-	59906	4.4%
Other values (2)	111164	8.2%

Latin

Value	Count	Frequency (%)
I	109810	34.7%
R	67627	21.3%
C	64039	20.2%
S	56077	17.7%
E	17690	5.6%
G	511	0.2%
T	500	0.2%
V	500	0.2%
N	116	< 0.1%
L	33	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1680548	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	309520	18.4%
1	196200	11.7%
2	150803	9.0%
I	109810	6.5%
5	108139	6.4%
3	101937	6.1%
6	91891	5.5%
8	87046	5.2%
7	83765	5.0%
R	67627	4.0%
Other values (13)	373810	22.2%

ft_vm_kurz
Categorical

MISSING

Distinct	12
Distinct (%)	< 0.1%
Missing	38301
Missing (%)	16.9%
Memory size	221.7 KiB

IC	56317
S	55968
IR	50859
RE	9915
R	6813
Other values (7)	8364

Length

Max length	3
Median length	2
Mean length	1.683126501
Min length	1

Characters and Unicode

Total characters	316825
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	IC
2nd row	IC
3rd row	IC
4th row	IC
5th row	RE

Common Values

Value	Count	Frequency (%)
IC	56317	24.9%
S	55968	24.7%
IR	50859	22.5%
RE	9915	4.4%
R	6813	3.0%
EC	5113	2.3%
ICE	2609	1.2%
TGV	500	0.2%
SN	108	< 0.1%
IRE	25	< 0.1%
Other values (2)	9	< 0.1%
(Missing)	38301	16.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
ic	56317	29.9%
s	55968	29.7%
ir	50859	27.0%
re	9915	5.3%
r	6813	3.6%
ec	5113	2.7%
ice	2609	1.4%
tgv	500	0.3%
sn	108	0.1%
ire	25	< 0.1%
Other values (2)	9	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
I	109810	34.7%
R	67612	21.3%
C	64039	20.2%
S	56077	17.7%
E	17670	5.6%
T	500	0.2%
G	500	0.2%
V	500	0.2%
N	116	< 0.1%
L	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	316825	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
I	109810	34.7%
R	67612	21.3%
C	64039	20.2%
S	56077	17.7%
E	17670	5.6%
T	500	0.2%
G	500	0.2%
V	500	0.2%
N	116	< 0.1%
L	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	316825	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
I	109810	34.7%
R	67612	21.3%
C	64039	20.2%
S	56077	17.7%
E	17670	5.6%
T	500	0.2%
G	500	0.2%
V	500	0.2%
N	116	< 0.1%
L	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	316825	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
I	109810	34.7%
R	67612	21.3%
C	64039	20.2%
S	56077	17.7%
E	17670	5.6%
T	500	0.2%
G	500	0.2%
V	500	0.2%
N	116	< 0.1%
L	1	< 0.1%

ft_zielort_uic
Real number (ℝ_≥0)

MISSING

Distinct	1464
Distinct (%)	0.8%
Missing	38301
Missing (%)	16.9%
Infinite	0
Infinite (%)	0.0%
Mean	8500531.918

Minimum	5501362
Maximum	8814001
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 MiB

Quantile statistics

Minimum	5501362
5-th percentile	8500023
Q1	8503000
median	8503127
Q3	8506290
95-th percentile	8509000
Maximum	8814001
Range	3312639
Interquartile range (IQR)	3290

Descriptive statistics

Standard deviation	42794.67661
Coefficient of variation (CV)	0.005034352793
Kurtosis	611.7592452
Mean	8500531.918
Median Absolute Deviation (MAD)	1873
Skewness	-16.80357096
Sum	1.600106126 × 10¹²
Variance	1831384346
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8503000	35107	15.5%
8507000	17066	7.5%
8505000	9928	4.4%
8500218	8140	3.6%
8500010	7156	3.2%
8506000	5432	2.4%
8506302	4604	2.0%
8503016	3756	1.7%
8509000	3721	1.6%
8502113	2831	1.2%
Other values (1454)	90495	39.9%
(Missing)	38301	16.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5501362	1	< 0.1%
5510017	3	< 0.1%
8001071	15	< 0.1%
8001093	1	< 0.1%
8002140	1	< 0.1%
8002181	3	< 0.1%
8002253	3	< 0.1%
8002301	2	< 0.1%
8002307	1	< 0.1%
8002371	7	< 0.1%

Value	Count	Frequency (%)
8814001	1	< 0.1%
8774647	1	< 0.1%
8774600	1	< 0.1%
8774549	6	< 0.1%
8774538	1	< 0.1%
8772568	1	< 0.1%
8772319	1	< 0.1%
8771513	1	< 0.1%
8771304	5	< 0.1%
8768888	1	< 0.1%

fg_abfahrt
Date

MISSING

Distinct	1340
Distinct (%)	0.7%
Missing	27467
Missing (%)	12.1%
Memory size	1.7 MiB

Minimum	2022-11-18 00:00:00
Maximum	2022-11-18 23:59:00

Histogram

Histogram with fixed size bins (bins=50)

fg_ankunft
Date

MISSING

Distinct	1363
Distinct (%)	0.7%
Missing	27467
Missing (%)	12.1%
Memory size	1.7 MiB

Minimum	2022-11-18 00:00:00
Maximum	2022-11-18 23:59:00

Histogram

Histogram with fixed size bins (bins=50)

fg_startort_uic
Real number (ℝ_≥0)

MISSING
SKEWED

Distinct	10832
Distinct (%)	5.4%
Missing	27467
Missing (%)	12.1%
Infinite	0
Infinite (%)	0.0%
Mean	8510008.922

Minimum	1101316
Maximum	8891702
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 MiB

Quantile statistics

Minimum	1101316
5-th percentile	8500026
Q1	8503000
median	8505000
Q3	8507555
95-th percentile	8587771
Maximum	8891702
Range	7790386
Interquartile range (IQR)	4555

Descriptive statistics

Standard deviation	108047.7434
Coefficient of variation (CV)	0.01269654878
Kurtosis	3650.066826
Mean	8510008.922
Median Absolute Deviation (MAD)	2172
Skewness	-54.12944026
Sum	1.694087476 × 10¹²
Variance	1.167431486 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8503000	13118	5.8%
8507000	8257	3.6%
8500010	6758	3.0%
8503016	5753	2.5%
8505000	5707	2.5%
8506000	3269	1.4%
8500218	2541	1.1%
8506302	2478	1.1%
8502113	2004	0.9%
8507100	1934	0.9%
Other values (10822)	147251	65.0%
(Missing)	27467	12.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1101316	1	< 0.1%
1101327	1	< 0.1%
1101954	1	< 0.1%
1101957	1	< 0.1%
1102034	1	< 0.1%
1104935	1	< 0.1%
1106493	26	< 0.1%
1401810	1	< 0.1%
5103865	1	< 0.1%
5510017	2	< 0.1%

Value	Count	Frequency (%)
8891702	1	< 0.1%
8812005	1	< 0.1%
8776302	1	< 0.1%
8775100	1	< 0.1%
8774687	2	< 0.1%
8774600	3	< 0.1%
8774564	2	< 0.1%
8774549	3	< 0.1%
8774232	1	< 0.1%
8772319	7	< 0.1%

fg_zielort_uic
Real number (ℝ_≥0)

MISSING
SKEWED

Distinct	10607
Distinct (%)	5.3%
Missing	27467
Missing (%)	12.1%
Infinite	0
Infinite (%)	0.0%
Mean	8507925.039

Minimum	1101322
Maximum	8831138
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.7 MiB

Quantile statistics

Minimum	1101322
5-th percentile	8500023
Q1	8503000
median	8505000
Q3	8507483
95-th percentile	8588604.65
Maximum	8831138
Range	7729816
Interquartile range (IQR)	4483

Descriptive statistics

Standard deviation	124982.7345
Coefficient of variation (CV)	0.01469015464
Kurtosis	2744.585839
Mean	8507925.039
Median Absolute Deviation (MAD)	2054
Skewness	-47.23386188
Sum	1.693672637 × 10¹²
Variance	1.562068392 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8503000	18046	8.0%
8507000	9965	4.4%
8505000	6822	3.0%
8500010	6583	2.9%
8503016	4868	2.1%
8506000	4112	1.8%
8506302	3530	1.6%
8500218	2646	1.2%
8502113	2457	1.1%
8507100	1940	0.9%
Other values (10597)	138101	61.0%
(Missing)	27467	12.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1101322	1	< 0.1%
1101323	1	< 0.1%
1101535	1	< 0.1%
1101894	2	< 0.1%
1101957	3	< 0.1%
1101966	2	< 0.1%
1102138	2	< 0.1%
1102502	1	< 0.1%
1106493	22	< 0.1%
1110000	1	< 0.1%

Value	Count	Frequency (%)
8831138	1	< 0.1%
8814001	1	< 0.1%
8774700	2	< 0.1%
8774687	1	< 0.1%
8774647	1	< 0.1%
8774600	1	< 0.1%
8774564	1	< 0.1%
8774549	8	< 0.1%
8774538	1	< 0.1%
8774500	1	< 0.1%

fg_startort
Categorical

HIGH CARDINALITY
MISSING

Distinct	12165
Distinct (%)	5.5%
Missing	6590
Missing (%)	2.9%
Memory size	796.1 KiB

Zürich HB	14097
Bern	8847
Basel SBB	7348
Luzern	6125
Zürich Flughafen	6109
Other values (12160)	177421

Length

Max length	33
Median length	26
Mean length	11.29004715
Min length	1

Characters and Unicode

Total characters	2483212
Distinct characters	91
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3874 ?
Unique (%)	1.8%

Sample

1st row	Biel/Bienne
2nd row	Aarau
3rd row	Zweilütschinen
4th row	Chur
5th row	Buchs SG, Werdenberg

Common Values

Value	Count	Frequency (%)
Zürich HB	14097	6.2%
Bern	8847	3.9%
Basel SBB	7348	3.2%
Luzern	6125	2.7%
Zürich Flughafen	6109	2.7%
Winterthur	3565	1.6%
Olten	2762	1.2%
St. Gallen	2623	1.2%
Aarau	2123	0.9%
Thun	2049	0.9%
Other values (12155)	164299	72.5%
(Missing)	6590	2.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
zürich	27577	8.1%
hb	14330	4.2%
bern	10897	3.2%
basel	8785	2.6%
sbb	7628	2.2%
luzern	7017	2.1%
flughafen	6239	1.8%
st	4963	1.5%
winterthur	4919	1.4%
dorf	4213	1.2%
Other values (9201)	243073	71.6%

Most occurring characters

Value	Count	Frequency (%)
e	243874	9.8%
n	194238	7.8%
r	177962	7.2%
i	136920	5.5%
a	136428	5.5%
	119753	4.8%
l	118248	4.8%
t	110825	4.5%
h	107515	4.3%
s	93495	3.8%
Other values (81)	1043954	42.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1882545	75.8%
Uppercase Letter	412384	16.6%
Space Separator	119753	4.8%
Other Punctuation	54939	2.2%
Dash Punctuation	9796	0.4%
Open Punctuation	1796	0.1%
Close Punctuation	1796	0.1%
Decimal Number	196	< 0.1%
Math Symbol	7	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	243874	13.0%
n	194238	10.3%
r	177962	9.5%
i	136920	7.3%
a	136428	7.2%
l	118248	6.3%
t	110825	5.9%
h	107515	5.7%
s	93495	5.0%
o	78594	4.2%
Other values (30)	484446	25.7%

Uppercase Letter

Value	Count	Frequency (%)
B	80361	19.5%
S	48066	11.7%
Z	39198	9.5%
H	28563	6.9%
L	23149	5.6%
G	22819	5.5%
W	19911	4.8%
A	18211	4.4%
F	15861	3.8%
R	14511	3.5%
Other values (23)	101734	24.7%

Decimal Number

Value	Count	Frequency (%)
4	74	37.8%
6	31	15.8%
3	26	13.3%
0	25	12.8%
1	17	8.7%
2	12	6.1%
7	10	5.1%
8	1	0.5%

Other Punctuation

Value	Count	Frequency (%)
,	42693	77.7%
.	7625	13.9%
/	4475	8.1%
'	145	0.3%
&	1	< 0.1%

Space Separator

Value	Count	Frequency (%)
	119753	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	9796	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1796	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1796	100.0%

Math Symbol

Value	Count	Frequency (%)
+	7	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2294929	92.4%
Common	188283	7.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	243874	10.6%
n	194238	8.5%
r	177962	7.8%
i	136920	6.0%
a	136428	5.9%
l	118248	5.2%
t	110825	4.8%
h	107515	4.7%
s	93495	4.1%
B	80361	3.5%
Other values (63)	895063	39.0%

Common

Value	Count	Frequency (%)
	119753	63.6%
,	42693	22.7%
-	9796	5.2%
.	7625	4.0%
/	4475	2.4%
(	1796	1.0%
)	1796	1.0%
'	145	0.1%
4	74	< 0.1%
6	31	< 0.1%
Other values (8)	99	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2427453	97.8%
None	55759	2.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	243874	10.0%
n	194238	8.0%
r	177962	7.3%
i	136920	5.6%
a	136428	5.6%
	119753	4.9%
l	118248	4.9%
t	110825	4.6%
h	107515	4.4%
s	93495	3.9%
Other values (60)	988195	40.7%

None

Value	Count	Frequency (%)
ü	41179	73.9%
ä	7338	13.2%
ö	3826	6.9%
è	1286	2.3%
é	1067	1.9%
â	464	0.8%
Ü	361	0.6%
Ä	91	0.2%
ô	40	0.1%
Ö	33	0.1%
Other values (11)	74	0.1%

fg_zielort
Categorical

HIGH CARDINALITY
MISSING

Distinct	11995
Distinct (%)	5.5%
Missing	6587
Missing (%)	2.9%
Memory size	794.9 KiB

Zürich HB	19401
Bern	10621
Luzern	7333
Basel SBB	7220
Zürich Flughafen	5167
Other values (11990)	170208

Length

Max length	40
Median length	28
Mean length	11.20180496
Min length	2

Characters and Unicode

Total characters	2463837
Distinct characters	95
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4131 ?
Unique (%)	1.9%

Sample

1st row	Aesch BL
2nd row	Bern
3rd row	Bern Wankdorf
4th row	Zürich HB
5th row	Muhen Nord

Common Values

Value	Count	Frequency (%)
Zürich HB	19401	8.6%
Bern	10621	4.7%
Luzern	7333	3.2%
Basel SBB	7220	3.2%
Zürich Flughafen	5167	2.3%
Winterthur	4419	2.0%
St. Gallen	3720	1.6%
Olten	2855	1.3%
Aarau	2636	1.2%
Thun	2068	0.9%
Other values (11985)	154510	68.2%
(Missing)	6587	2.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
zürich	37553	10.9%
hb	19765	5.7%
bern	13468	3.9%
basel	8810	2.6%
luzern	8663	2.5%
sbb	7463	2.2%
st	6514	1.9%
winterthur	5426	1.6%
flughafen	5382	1.6%
gallen	5214	1.5%
Other values (9171)	226935	65.7%

Most occurring characters

Value	Count	Frequency (%)
e	230818	9.4%
n	185671	7.5%
r	183738	7.5%
i	137653	5.6%
a	136482	5.5%
	125344	5.1%
l	115711	4.7%
h	113152	4.6%
t	107682	4.4%
s	88237	3.6%
Other values (85)	1039349	42.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1849570	75.1%
Uppercase Letter	421239	17.1%
Space Separator	125344	5.1%
Other Punctuation	55196	2.2%
Dash Punctuation	8259	0.3%
Open Punctuation	1992	0.1%
Close Punctuation	1992	0.1%
Decimal Number	226	< 0.1%
Math Symbol	19	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	230818	12.5%
n	185671	10.0%
r	183738	9.9%
i	137653	7.4%
a	136482	7.4%
l	115711	6.3%
h	113152	6.1%
t	107682	5.8%
s	88237	4.8%
u	76195	4.1%
Other values (33)	474231	25.6%

Uppercase Letter

Value	Count	Frequency (%)
B	87549	20.8%
Z	48001	11.4%
S	47582	11.3%
H	32296	7.7%
L	24106	5.7%
G	22329	5.3%
W	18370	4.4%
A	17701	4.2%
F	14158	3.4%
R	13358	3.2%
Other values (22)	95789	22.7%

Decimal Number

Value	Count	Frequency (%)
4	76	33.6%
3	30	13.3%
6	26	11.5%
1	24	10.6%
0	22	9.7%
2	21	9.3%
7	19	8.4%
8	4	1.8%
9	2	0.9%
5	2	0.9%

Other Punctuation

Value	Count	Frequency (%)
,	40972	74.2%
.	8778	15.9%
/	5328	9.7%
'	116	0.2%
&	2	< 0.1%

Space Separator

Value	Count	Frequency (%)
	125344	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	8259	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1992	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1992	100.0%

Math Symbol

Value	Count	Frequency (%)
+	19	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2270809	92.2%
Common	193028	7.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	230818	10.2%
n	185671	8.2%
r	183738	8.1%
i	137653	6.1%
a	136482	6.0%
l	115711	5.1%
h	113152	5.0%
t	107682	4.7%
s	88237	3.9%
B	87549	3.9%
Other values (65)	884116	38.9%

Common

Value	Count	Frequency (%)
	125344	64.9%
,	40972	21.2%
.	8778	4.5%
-	8259	4.3%
/	5328	2.8%
(	1992	1.0%
)	1992	1.0%
'	116	0.1%
4	76	< 0.1%
3	30	< 0.1%
Other values (10)	141	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2401727	97.5%
None	62110	2.5%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	230818	9.6%
n	185671	7.7%
r	183738	7.7%
i	137653	5.7%
a	136482	5.7%
	125344	5.2%
l	115711	4.8%
h	113152	4.7%
t	107682	4.5%
s	88237	3.7%
Other values (62)	977239	40.7%

None

Value	Count	Frequency (%)
ü	49122	79.1%
ä	6154	9.9%
ö	3475	5.6%
è	1253	2.0%
é	993	1.6%
â	456	0.7%
Ü	424	0.7%
ô	53	0.1%
Ä	51	0.1%
à	28	< 0.1%
Other values (13)	101	0.2%

ft_startort
Categorical

HIGH CARDINALITY
MISSING

Distinct	6252
Distinct (%)	3.0%
Missing	17466
Missing (%)	7.7%
Memory size	620.7 KiB

Zürich HB	21001
Bern	11773
Basel SBB	7889
Luzern	7186
Zürich Flughafen	5908
Other values (6247)	155314

Length

Max length	31
Median length	27
Mean length	10.31267847
Min length	1

Characters and Unicode

Total characters	2156082
Distinct characters	88
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2888 ?
Unique (%)	1.4%

Sample

1st row	Biel/Bienne
2nd row	Aarau
3rd row	Spiez
4th row	Chur
5th row	Zürich HB

Common Values

Value	Count	Frequency (%)
Zürich HB	21001	9.3%
Bern	11773	5.2%
Basel SBB	7889	3.5%
Luzern	7186	3.2%
Zürich Flughafen	5908	2.6%
Olten	5434	2.4%
Winterthur	4483	2.0%
St. Gallen	3187	1.4%
Chur	2544	1.1%
Zug	2479	1.1%
Other values (6242)	137187	60.6%
(Missing)	17466	7.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
zürich	33357	10.6%
hb	21549	6.8%
bahnhof	20401	6.5%
bern	13779	4.4%
basel	9514	3.0%
sbb	9240	2.9%
luzern	8363	2.7%
flughafen	6340	2.0%
olten	5833	1.9%
winterthur	5737	1.8%
Other values (4850)	180743	57.4%

Most occurring characters

Value	Count	Frequency (%)
e	182563	8.5%
n	179967	8.3%
r	147891	6.9%
h	134818	6.3%
a	126702	5.9%
B	111113	5.2%
i	110964	5.1%
	105809	4.9%
l	92767	4.3%
t	83496	3.9%
Other values (78)	879992	40.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1599255	74.2%
Uppercase Letter	398304	18.5%
Space Separator	105809	4.9%
Other Punctuation	43210	2.0%
Dash Punctuation	7572	0.4%
Open Punctuation	886	< 0.1%
Close Punctuation	886	< 0.1%
Decimal Number	99	< 0.1%
Math Symbol	61	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	182563	11.4%
n	179967	11.3%
r	147891	9.2%
h	134818	8.4%
a	126702	7.9%
i	110964	6.9%
l	92767	5.8%
t	83496	5.2%
o	73765	4.6%
u	72631	4.5%
Other values (28)	393691	24.6%

Uppercase Letter

Value	Count	Frequency (%)
B	111113	27.9%
Z	43840	11.0%
S	43054	10.8%
H	32790	8.2%
L	21822	5.5%
G	19446	4.9%
W	17562	4.4%
A	13864	3.5%
F	13854	3.5%
O	12052	3.0%
Other values (23)	68907	17.3%

Decimal Number

Value	Count	Frequency (%)
4	44	44.4%
6	12	12.1%
1	11	11.1%
3	11	11.1%
7	10	10.1%
2	10	10.1%
0	1	1.0%

Other Punctuation

Value	Count	Frequency (%)
,	30545	70.7%
.	6543	15.1%
/	6068	14.0%
'	31	0.1%
&	23	0.1%

Space Separator

Value	Count	Frequency (%)
	105809	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	7572	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	886	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	886	100.0%

Math Symbol

Value	Count	Frequency (%)
+	61	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1997559	92.6%
Common	158523	7.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	182563	9.1%
n	179967	9.0%
r	147891	7.4%
h	134818	6.7%
a	126702	6.3%
B	111113	5.6%
i	110964	5.6%
l	92767	4.6%
t	83496	4.2%
o	73765	3.7%
Other values (61)	753513	37.7%

Common

Value	Count	Frequency (%)
	105809	66.7%
,	30545	19.3%
-	7572	4.8%
.	6543	4.1%
/	6068	3.8%
(	886	0.6%
)	886	0.6%
+	61	< 0.1%
4	44	< 0.1%
'	31	< 0.1%
Other values (7)	78	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2104889	97.6%
None	51193	2.4%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	182563	8.7%
n	179967	8.5%
r	147891	7.0%
h	134818	6.4%
a	126702	6.0%
B	111113	5.3%
i	110964	5.3%
	105809	5.0%
l	92767	4.4%
t	83496	4.0%
Other values (59)	828799	39.4%

None

Value	Count	Frequency (%)
ü	41974	82.0%
ä	4667	9.1%
ö	1508	2.9%
è	1154	2.3%
é	867	1.7%
â	515	1.0%
Ü	360	0.7%
Ä	79	0.2%
Ö	23	< 0.1%
ì	14	< 0.1%
Other values (9)	32	0.1%

ft_zielort
Categorical

HIGH CARDINALITY
MISSING

Distinct	5341
Distinct (%)	2.6%
Missing	17463
Missing (%)	7.7%
Memory size	613.7 KiB

Zürich HB	36448
Bern	17714
Luzern	10435
Olten	8345
Basel SBB	7792
Other values (5336)	128340

Length

Max length	40
Median length	29
Mean length	8.80995724
Min length	3

Characters and Unicode

Total characters	1841933
Distinct characters	85
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2790 ?
Unique (%)	1.3%

Sample

1st row	Laufen
2nd row	Bern
3rd row	Bern
4th row	Zürich HB
5th row	Aarau

Common Values

Value	Count	Frequency (%)
Zürich HB	36448	16.1%
Bern	17714	7.8%
Luzern	10435	4.6%
Olten	8345	3.7%
Basel SBB	7792	3.4%
Winterthur	5739	2.5%
St. Gallen	4794	2.1%
Zürich Flughafen	4055	1.8%
Chur	3866	1.7%
Aarau	3009	1.3%
Other values (5331)	106877	47.2%
(Missing)	17463	7.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
zürich	49499	16.7%
hb	36985	12.5%
bern	18628	6.3%
luzern	10752	3.6%
olten	8433	2.8%
basel	8217	2.8%
sbb	7983	2.7%
st	6064	2.0%
winterthur	5999	2.0%
gallen	5356	1.8%
Other values (4489)	138167	46.7%

Most occurring characters

Value	Count	Frequency (%)
e	163507	8.9%
r	156410	8.5%
n	140270	7.6%
i	111099	6.0%
B	98836	5.4%
h	95451	5.2%
	87040	4.7%
a	84530	4.6%
l	82998	4.5%
t	71412	3.9%
Other values (75)	750380	40.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1346108	73.1%
Uppercase Letter	385323	20.9%
Space Separator	87040	4.7%
Other Punctuation	15562	0.8%
Dash Punctuation	6284	0.3%
Open Punctuation	743	< 0.1%
Close Punctuation	743	< 0.1%
Decimal Number	126	< 0.1%
Math Symbol	4	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	163507	12.1%
r	156410	11.6%
n	140270	10.4%
i	111099	8.3%
h	95451	7.1%
a	84530	6.3%
l	82998	6.2%
t	71412	5.3%
c	65734	4.9%
u	63053	4.7%
Other values (27)	311644	23.2%

Uppercase Letter

Value	Count	Frequency (%)
B	98836	25.7%
Z	57774	15.0%
H	43850	11.4%
S	36263	9.4%
L	21682	5.6%
G	18169	4.7%
W	14556	3.8%
O	14321	3.7%
A	13003	3.4%
R	9551	2.5%
Other values (22)	57318	14.9%

Decimal Number

Value	Count	Frequency (%)
4	36	28.6%
3	20	15.9%
6	20	15.9%
7	20	15.9%
2	20	15.9%
1	10	7.9%

Other Punctuation

Value	Count	Frequency (%)
.	6818	43.8%
,	4677	30.1%
/	4045	26.0%
'	20	0.1%
&	2	< 0.1%

Space Separator

Value	Count	Frequency (%)
	87040	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	6284	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	743	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	743	100.0%

Math Symbol

Value	Count	Frequency (%)
+	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1731431	94.0%
Common	110502	6.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	163507	9.4%
r	156410	9.0%
n	140270	8.1%
i	111099	6.4%
B	98836	5.7%
h	95451	5.5%
a	84530	4.9%
l	82998	4.8%
t	71412	4.1%
c	65734	3.8%
Other values (59)	661184	38.2%

Common

Value	Count	Frequency (%)
	87040	78.8%
.	6818	6.2%
-	6284	5.7%
,	4677	4.2%
/	4045	3.7%
(	743	0.7%
)	743	0.7%
4	36	< 0.1%
'	20	< 0.1%
3	20	< 0.1%
Other values (6)	76	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1779248	96.6%
None	62685	3.4%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	163507	9.2%
r	156410	8.8%
n	140270	7.9%
i	111099	6.2%
B	98836	5.6%
h	95451	5.4%
	87040	4.9%
a	84530	4.8%
l	82998	4.7%
t	71412	4.0%
Other values (58)	687695	38.7%

None

Value	Count	Frequency (%)
ü	55870	89.1%
ä	3191	5.1%
ö	1009	1.6%
è	909	1.5%
é	684	1.1%
â	510	0.8%
Ü	420	0.7%
Ä	35	0.1%
Ö	19	< 0.1%
ô	9	< 0.1%
Other values (7)	29	< 0.1%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	df_index	participant_id	u_date	S_alter	S_sex	S_wohnsitz	u_klassencode	u_ga	S_AB3_HTA	R_anschluss	R_stoerung	device_type	dispcode	u_ticket	u_fahrausweis	u_preis	R_zweck	ft_abfahrt	ft_ankunft	ft_startort_uic	ft_tu	ft_vm	ft_vm_kurz	ft_zielort_uic	fg_abfahrt	fg_ankunft	fg_startort_uic	fg_zielort_uic	fg_startort	fg_zielort	ft_startort	ft_zielort
0	226335	583619	2022-10-30	55.0	weiblich	In der Schweiz / Liechtenstein	2. Klasse	NaN	ja	Ja	Nein	Desktop	Beendet	Mobile-Ticket	Normales Billett	13.5	Freizeit und Unterhaltung	2022-11-18 16:49:00	2022-11-18 17:34:00	8504300	SBB	IC-51-1629	IC	8500113	2022-11-18 16:49:00	2022-11-18 18:10:00	8504300	8500117	Biel/Bienne	Aesch BL	Biel/Bienne	Laufen
1	226400	583724	2022-10-30	20.0	männlich	In der Schweiz / Liechtenstein	2. Klasse	NaN	ja	Ja	NaN	Desktop	Beendet	Mobile-Ticket	Normales Billett	16.5	Freizeit und Unterhaltung	2022-11-18 14:30:00	2022-11-18 15:24:00	8502113	SBB	IC-1-722	IC	8507000	2022-11-18 14:30:00	2022-11-18 15:24:00	8502113	8507000	Aarau	Bern	Aarau	Bern
2	226141	583352	2022-10-30	56.0	weiblich	In der Schweiz / Liechtenstein	2. Klasse	NaN	nein	NaN	NaN	Desktop	Ausgescreent	NaN	GA	NaN	Freizeit und Unterhaltung	2022-11-18 15:54:00	2022-11-18 16:24:00	8507483	SBB	IC-6-1076	IC	8507000	2022-11-18 15:12:00	2022-11-18 16:33:00	8507389	8516161	Zweilütschinen	Bern Wankdorf	Spiez	Bern
3	226748	584194	2022-10-30	26.0	weiblich	In der Schweiz / Liechtenstein	NaN	NaN	nein	Ja	Nein	Desktop	Beendet	Mobile-Ticket	Normales Billett	15.5	Freizeit und Unterhaltung	2022-11-18 17:08:00	2022-11-18 18:22:00	8509000	SBB	IC-3-580	IC	8503000	2022-11-18 17:08:00	2022-11-18 18:22:00	8509000	8503000	Chur	Zürich HB	Chur	Zürich HB
4	226415	583744	2022-10-30	43.0	weiblich	In der Schweiz / Liechtenstein	2. Klasse	NaN	ja	Ja	Nein	Desktop	Beendet nach Unterbrechung	Mobile-Ticket	Normales Billett	29.5	Freizeit und Unterhaltung	2022-11-18 11:38:00	2022-11-18 12:05:00	8503000	SBB	RE--4818	RE	8502113	2022-11-18 10:02:00	2022-11-18 12:23:00	8574039	8502180	Buchs SG, Werdenberg	Muhen Nord	Zürich HB	Aarau
5	226408	583737	2022-10-30	47.0	weiblich	In der Schweiz / Liechtenstein	2. Klasse	NaN	ja	Ja	Nein	Desktop	Beendet	Mobile-Ticket	Normales Billett	2.0	Freizeit und Unterhaltung	2022-11-18 07:26:00	2022-11-18 08:02:00	8507100	SBB	IC-8-804	IC	8501605	2022-11-18 07:26:00	2022-11-18 08:02:00	8507100	8501605	Thun	Visp	Thun	Visp
6	226754	584201	2022-10-30	28.0	weiblich	In der Schweiz / Liechtenstein	2. Klasse	NaN	ja	Ja	Nein	Desktop	Beendet	NaN	Sparbillett	17.8	Freizeit und Unterhaltung	2022-11-18 12:04:00	2022-11-18 13:10:00	8507000	SBB	IC-61-968	IC	8500010	2022-11-18 12:04:00	2022-11-18 13:38:00	8507000	8588764	Bern	Arlesheim, Im Lee	Bern	Basel SBB
7	226404	583732	2022-10-30	71.0	weiblich	In der Schweiz / Liechtenstein	2. Klasse	NaN	ja	Ja	Nein	Desktop	Beendet	Easy Ride	Normales Billett	19.6	Freizeit und Unterhaltung	2022-11-18 16:32:00	2022-11-18 16:51:00	8502280	SBB	IR-70-2631	IR	8505000	2022-11-18 15:42:00	2022-11-18 18:08:00	8502747	8508100	Oberägeri, Ländli	Langenthal	Zug, Bahnhofplatz	Luzern
8	226403	583727	2022-10-30	32.0	weiblich	In der Schweiz / Liechtenstein	NaN	NaN	nein	Ja	NaN	Desktop	Beendet	Mobile-Ticket	Normales Billett	3.9	Freizeit und Unterhaltung	2022-11-18 00:14:00	2022-11-18 00:30:00	8500023	SOB	IR--2347	IR	8500218	2022-11-18 00:14:00	2022-11-18 00:30:00	8500023	8500218	Liestal	Olten	Liestal	Olten
9	226760	584208	2022-10-30	67.0	männlich	In der Schweiz / Liechtenstein	2. Klasse	NaN	ja	Ja	Nein	Desktop	Beendet	Mobile-Ticket	Normales Billett	10.1	Freizeit und Unterhaltung	2022-11-18 16:33:00	2022-11-18 16:55:00	8530237	MGB	R-43-550	R	8501672	2022-11-18 16:03:00	2022-11-18 17:05:00	8501698	8578899	Riederalp Mitte	Ernen, Aragon	Mörel (Riederalpbahn)	Fiesch

Last rows

	df_index	participant_id	u_date	S_alter	S_sex	S_wohnsitz	u_klassencode	u_ga	S_AB3_HTA	R_anschluss	R_stoerung	device_type	dispcode	u_ticket	u_fahrausweis	u_preis	R_zweck	ft_abfahrt	ft_ankunft	ft_startort_uic	ft_tu	ft_vm	ft_vm_kurz	ft_zielort_uic	fg_abfahrt	fg_ankunft	fg_startort_uic	fg_zielort_uic	fg_startort	fg_zielort	ft_startort	ft_zielort
226527	880	51615	2019-01-02	26.0	männlich	In der Schweiz / Liechtenstein	2. Klasse	kein GA	ja	Ja	Nein	NaN	NaN	Mobile-Ticket	NaN	18.6	Freizeit und Unterhaltung	2022-11-18 18:47:00	2022-11-18 19:23:00	8503424	SBB	IC 4 281	IC	8503000	2022-11-18 18:47:00	2022-11-18 20:28:00	8503424	8502853	Schaffhausen	Unterägeri, Spinnerei	Schaffhausen	Zürich HB
226528	881	51616	2019-01-02	44.0	männlich	In der Schweiz / Liechtenstein	2. Klasse	kein GA	ja	NaN	Nein	NaN	NaN	Mobile-Ticket	NaN	4.5	Freizeit und Unterhaltung	2022-11-18 15:14:00	2022-11-18 15:31:00	8509197	RhB	IR 1145	IR	8509198	2022-11-18 15:14:00	2022-11-18 15:31:00	8509197	8509198	Bergün/Bravuogn	Preda	Bergün/Bravuogn	Preda
226529	882	51618	2019-01-02	69.0	männlich	In der Schweiz / Liechtenstein	2. Klasse	kein GA	ja	Ja	Nein	NaN	NaN	Mobile-Ticket	NaN	10.8	Freizeit und Unterhaltung	2022-11-18 16:15:00	2022-11-18 16:30:00	8587020	SBB	S 11 19163	S	8503000	2022-11-18 16:00:00	2022-11-18 17:05:00	8590618	8587984	Geroldswil, Zentrum	Meilen, Schwabach	Dietikon, Bahnhof	Zürich HB
226530	883	51619	2019-01-02	68.0	männlich	In der Schweiz / Liechtenstein	2. Klasse	kein GA	ja	Ja	Nein	NaN	NaN	Mobile-Ticket	NaN	17.0	Freizeit und Unterhaltung	2022-11-18 18:33:00	2022-11-18 19:35:00	8503000	SBB	IC 1 727	IC	8506302	2022-11-18 18:33:00	2022-11-18 19:54:00	8503000	8506290	Zürich HB	Herisau	Zürich HB	St. Gallen
226531	884	51620	2019-01-02	35.0	männlich	In der Schweiz / Liechtenstein	2. Klasse	kein GA	ja	Ja	Nein	NaN	NaN	Mobile-Ticket	NaN	15.0	Sonstige	2022-11-18 22:46:00	2022-11-18 22:55:00	8503016	SBB	IC 8 838	IC	8503000	2022-11-18 22:46:00	2022-11-18 23:49:00	8503016	8505000	Zürich Flughafen	Luzern	Zürich Flughafen	Zürich HB
226532	885	51621	2019-01-02	37.0	weiblich	In der Schweiz / Liechtenstein	2. Klasse	kein GA	ja	NaN	Nein	NaN	NaN	Mobile-Ticket	NaN	17.0	Freizeit und Unterhaltung	2022-11-18 09:50:00	2022-11-18 11:01:00	8509002	RhB	RE 1229	RE	8509265	2022-11-18 09:50:00	2022-11-18 11:01:00	8509002	8509265	Landquart	Guarda	Landquart	Guarda
226533	886	51622	2019-01-02	27.0	weiblich	In der Schweiz / Liechtenstein	2. Klasse	kein GA	ja	Nein	Ja	NaN	NaN	Mobile-Ticket	NaN	36.6	Sonstige	2022-11-18 07:30:00	2022-11-18 08:06:00	8500218	SBB	IR 17 2359	IR	8503000	2022-11-18 07:30:00	2022-11-18 08:58:00	8500218	8590646	Olten	Herrliberg, Wetzwil	Olten	Zürich HB
226534	887	51623	2019-01-02	52.0	weiblich	In der Schweiz / Liechtenstein	2. Klasse	kein GA	ja	Ja	Nein	NaN	NaN	Mobile-Ticket	NaN	24.0	Freizeit und Unterhaltung	2022-11-18 13:15:00	2022-11-18 14:43:00	8503006	SBB	IC 5 1522	IC	8504300	2022-11-18 13:15:00	2022-11-18 14:56:00	8503006	8504419	Zürich Oerlikon	Biel Mett	Zürich Oerlikon	Biel/Bienne
226535	888	51624	2019-01-02	39.0	männlich	In der Schweiz / Liechtenstein	2. Klasse	kein GA	ja	NaN	Nein	NaN	NaN	Mobile-Ticket	NaN	21.5	Freizeit und Unterhaltung	2022-11-18 17:00:00	2022-11-18 17:40:00	8507000	SBB	IR 15 2527	IR	8502007	2022-11-18 16:22:00	2022-11-18 17:40:00	8504102	8502007	Schmitten	Sursee	Bern	Sursee
226536	913	51661	2019-01-02	38.0	männlich	In der Schweiz / Liechtenstein	2. Klasse	kein GA	ja	NaN	Ja	NaN	NaN	Mobile-Ticket	NaN	16.8	Freizeit und Unterhaltung	2022-11-18 16:10:00	2022-11-18 16:55:00	8506304	SOB	S 4 11462	S	8506201	2022-11-18 16:10:00	2022-11-18 16:55:00	8506304	8506201	Mörschwil	Lichtensteig	Mörschwil	Lichtensteig

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

None

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Other Punctuation

Space Separator

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII